Wei Li's homepage

Currently I am an associate professor of the School of Information Engineering in Jiangxi University of Science and Technology. I received my B.Sc. and Ph.D. degrees in Computer Science from Jiangxi University of Science and Technology and South China Agricultural University in June 2008 and June 2018, respectively. From 2016 to 2017, I was a visiting professor at the University of Calgary in Canada. And I am the steering committee chair of the annual Springer International Symposium on Intelligence Computation and Applications (ISICA) since 2015. I published over 30+ research papers in the international conferences and journals and have served as program and local arrangement chairs for 10+ international conferences. .

My current research interests mainly include Deep Learning, Machine Learning and Computational Intelligence Algorithm. More specifically, I am interested in: Particle Swarm Optimization, Differential Evolution and Ant Colony Optimization, Multi/Many Objective Optimization, Fitness Landscape Analysis and their applications in practical optimization problems.

Journal Papers

Wei Li, Xiang Meng, et al. Multipopulation Cooperative Particle Swarm Optimization with A Mixed Mutation Strategy, Information Sciences. 2020, 529: 179-196. ISSN 0020-0255, https://doi.org/10.1016/j.ins.2020.02.034. (SCI, EI, IF: 6.795, JCR Q1). (source code)
Wei Li, Bo Sun, et al. Adaptive Complex Network Topology with Fitness Distance Correlation Framework for Particle Swarm Optimization, International Journal of Intelligent Systems. 2022. ISSN 1098-111X. https://doi.org/10.1002/int.22790. (SCI, EI, IF: 8.709, JCR Q1).
Wei Li, Xiang Meng, et al. Fitness Distance Correlation and Mixed Search Strategy for Differential Evolution, Neurocomputing. 2021,458: 514-525, ISSN 0925-2312, https://doi.org/10.1016/j.neucom.2019.12.141. (SCI, EI, IF: 5.719, JCR Q1).
Wei Li, Xiang Meng, et al. Knowledge-Guided Multiobjective Particle Swarm Optimization with Fusion Learning Strategies, Complex & Intelligent Systems. 2021, 7: 1223–1239. https://doi.org/10.1007/s40747-020-00263-z. (SCI, EI, IF: 4.927, JCR Q2).
Wei Li, Le Xia, et al. An Ant Colony Optimization Algorithm with Adaptive Greedy Strategy to Optimize Path Problems, Journal of Ambient Intelligence and Humanized Computing. 2021. https://doi.org/10.1007/s12652-021-03120-0. (SCI, EI, IF: 4.594, JCR Q1).
Wei Li, Xiang Meng, et al. An Efficient Particle Swarm Optimization with Multidimensional Mean Learning, International Journal of Pattern Recognition and Artificial Intelligence. 2021, 35(3): 2151005. https://doi.org/10.1142/S0218001421510058. (SCI, EI, IF: 1.375, JCR Q3).
Wei Li, Bo Sun, et al. An Adaptive Differential Evolution Algorithm using Fitness Distance Correlation and Neighbourhood-Based Mutation Strategy, Connection Science. 2021. https://doi.org/10.1080/09540091.2021.1997913. (SCI, EI, IF: 1.971, JCR Q3).
Ying Huang, Wei Li, et al. A Fitness Landscape Ruggedness Multiobjective Differential Evolution Algorithm with A Reinforcement Learning Strategy. Applied Soft Computing, 2020, 96: 106693. https://doi.org/10.1016/j.asoc.2020.106693. (SCI, EI, IF: 6.725, JCR Q1).
Wei Li, Zhangxin Chen, et al. Self-Feedback Differential Evolution Adapting to Fitness Landscape Characteristics. Soft Computing. 2019, 23(4): 1151–1163. Springer. ISSN: 1432-7643 (SCI, EI, IF: 3.05, JCR Q1).
Wei Li, Kangshun Li, et al. A New Validity Index Adapted to Fuzzy Clustering Algorithm. Multimedia Tools and Applications. 2018, 77(9): 11339–11361. Springer. ISSN: 1573-7721. (SCI, EI, IF: 1.403, JCR Q2).
Wei Li, Kangshun Li, et al. A EA- and ACA-based QoS Multicast Routing Algorithm with Multiple Constraints for Ad Hoc Networks. Soft Computing. 2017, 21(19): 5717–5727. Springer. ISSN: 1432-7643. (SCI, EI, IF: 3.05, JCR Q1).
Wei Li, Bo Sun, et al. Adaptive Particle Swarm Optimization Using Scale-Free Network Topology. Journal of Network Intelligence. 2021. 6(3): 500-517. (EI).
Wei Li, et al. Fitness Distance Correlation Strategy for The RGV Dynamic Scheduling Problem, International Journal of Cognitive Informatics and Natural Intelligence. 2020, 14(3): 20-40, ISSN: 15573958. Publisher: IGI Global (EI).
Wei Li, Kangshun Li, et al. Defects of Wheel Hubs Detection and Recognition Based on Trend Peak Algorithm. International Journal of Embedded Systems. 2017, 9(3): 211-219. ISSN: 17411068. (EI).

Conference Papers

Wei Li, Xiang Meng et al. Differential Learning Particle Swarm Optimization with Full Dimensional Information. 2019, 15th International Conference on Computational Intelligence and Security (CIS) (EI).
Wei Li, Kangshun Li, Liang Zhong, Ying Huang. A Mixed Strategies Differential Evolution Based on Fitness Landscapes Features. 2017 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC). IEEE. 2017: 858-861. (EI).
Wei Li, Kangshun Li. A New Trend Peak Algorithm with X-Ray Image for Wheel Hubs Detection and Recognition. Computational Intelligence and Intelligent Systems. Volume 575 of the series Communications in Computer and Information Science. Springer. 2016: 23-31. (EI).